PySpark
3 weeks ago
Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market If so, we are excited to have bumped onto you.
Learn how we are redefining themeaning of work, and be a part of the team raved by Clients, Job-seekers and Employees.
- Jobseeker Video Testimonials
- Employee Glassdoor Reviews
If you are a PySpark looking for excitement, challenge and stability in your work, then you would be glad to come across this page.
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.
Requirements
Role:PySpark
Location: Hyderabad, Pune,Benguluru, Delhi,Mumbai,Kolkata,Chennai
Exp: 5 - 8 Years
Requirements
We are seeking a PySpark Streaming Developer with expertise in real-time data processing to develop and optimize data applications designed to handle continuous streams of data. The ideal candidate will have strong experience in streaming capabilities to ingest, transform, and analyze data from various sources such as Kafka, web APIs, and sensor feeds, ensuring seamless integration with downstream systems like databases and dashboards.
Key Responsibilities:
- Develop and maintain real-time data processing applications using PySpark Streaming.
- Read and ingest data from diverse streaming sources such as Kafka, Kinesis, web sockets, and file system changes.
- Utilize Spark Structured Streaming for building efficient and scalable streaming pipelines.
- Apply data manipulation techniques such as filtering, aggregation, windowing, and joins on streaming data to extract meaningful insights.
- Implement data sinks to write processed data to various destinations, including databases, data lakes, live dashboards, and other applications.
- Optimize streaming applications for performance, scalability, and reliability.
Required Skills & Experience:
- Strong expertise in real-time data processing using PySpark Streaming.
- Hands-on experience with streaming data sources such as Kafka, Kinesis, and web sockets.
- Proficiency in Spark Structured Streaming API for building modern data pipelines.
- Experience in data manipulation techniques, including transformations, aggregations, and joins.
- Knowledge of data sinks and the ability to write processed data to various storage and visualization systems.
Preferred Skills:
- Experience working with large-scale streaming data applications.
- Strong understanding of distributed computing and data engineering best practices.
- Familiarity with real-time analytics and dashboard integration.
- Excellent problem-solving and communication skills to collaborate effectively with cross-functional teams.
Benefits
Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
CEO Message: Click Here
Clients Testimonial: Click Here
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